Amazon Nova Lite vs Mistral Small 3.1 (25.03)
Compare Amazon Nova Lite and Mistral Small 3.1 (25.03) across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus cost-efficient scale.
Overview Comparison
Structured side-by-side differences for the highest-signal model metadata.
Provider
The entity that currently provides this model.
Model ID
The routed model identifier exposed by upstream providers.
Input Context Window
The number of tokens supported by the input context window.
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Open Source
Whether the model's code is available for public use.
Release Date
When the model was first released.
Knowledge Cut-off Date
When the model's knowledge was last updated.
API Providers
The providers that currently expose the model through an API.
Modalities
Types of data each model can process or return.
Pricing Comparison
Compare current token pricing before you choose the cheaper or more scalable API option.
Capabilities Comparison
See where each model overlaps, where they differ, and which one supports more of the features you care about.
Benchmark Comparison
Shared benchmark rows make it easier to compare performance where both models have published scores.
| Benchmark | Amazon Nova Lite | Mistral Small 3.1 (25.03) |
|---|---|---|
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AIME 2024
American math olympiad problems
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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HLE
Questions that challenge frontier models across many domains
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LiveCodeBench
Real-world coding tasks from recent competitions
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MATH-500
Undergraduate and competition-level math problems
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MMLU-Pro
Expert knowledge across 14 academic disciplines
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SciCode
Scientific research coding and numerical methods
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What Reddit discussions say about Amazon Nova Lite vs Mistral Small 3.1 (25.03)
Amazon Nova Lite and Mistral Small 3.1 (25.03) are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.
The most visible threads right now are clustered in r/LLMDevs, r/BlackboxAI_, r/ClaudeAI.
Amazon just launched Nova 2 Lite models on Bedrock.
Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)
if you think this is useful, then don't forget to the star the project 🙏
# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries
- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY
None of the MS models seem to be working for me. I get an error like:
`[API Error: 404 litellm.NotFoundError: NotFoundError: OpenrouterException - {"error":{"message":"No endpoints found that support tool use. To learn more about provider routing, visit:`
`https://openrouter.ai/docs/guides/routing/provider-selection","code":404}}. Received Model Group=blackboxai/microsoft/phi-4Available Model Group Fallbacks=None]`
Separately, the amazon/nova-lite-v1 model is s\*\*t... Offers vague recommendations and no specific fix for any code.
Amazon just launched Nova 2 Lite models on Bedrock.
Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)
# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries
- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY
if you think this is useful, then don't forget to the star the project 🙏
Amazon just launched Nova 2 Lite models on Bedrock.
Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)
if you think this is useful, then don't forget to the star the project 🙏
# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries
- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY
I’ve been working on integrating Amazon Bedrock’s Nova Lite model into my application and have encountered an issue. According to the documentation, cross-region inference should allow my Lambda function running in us-west-2 to access amazon.nova-lite-v1:0, but my API calls are failing with the following error:
jsonCopy code{
"statusCode": 500,
"body": {
"error": "Bedrock API request failed: An error occurred (ValidationException) when calling the InvokeModel operation: Invocation of model ID amazon.nova-lite-v1:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile that contains this model."
}
}
From my understanding, Nova Lite is supposed to support both on-demand and provisioned throughput according to the user guide. However, this error makes it seem like provisioned throughput is a mandatory requirement for this model.
I've already:
* Verified that my Lambda function and Bedrock client are correctly configured for us-west-2.
* Ensured that the IAM role has the necessary permissions (bedrock:InvokeModel, etc.).
* Checked the documentation, but it doesn’t explicitly mention that provisioned throughput is required for basic inference with Nova Lite.
Can anyone confirm if provisioned throughput is a hard requirement for Nova Lite, or am I missing a key configuration step? Any insights would be greatly appreciated!
AI tools related to Amazon Nova Lite vs Mistral Small 3.1 (25.03)
These tools are closely connected to one or both models in this comparison and can help you evaluate real-world fit.
PartyRock
PartyRock is a playground powered by Amazon Bedrock that allows you to build AI-generated apps. It offers a fast, engaging way to explore generative AI, providing access to foundation models through an intuitive, code-free interface designed for learning prompt engineering and AI fundamentals.
StoryBee
StoryBee is an AI-powered story generator designed to spark creativity and imagination in children. The platform enables users to create personalized children's stories, bedtime tales, and educational narratives in seconds by providing a simple hint or theme. It is built for parents, teachers, and young readers.
GPT-trainer
GPT-trainer is an AI chatbot builder that enables users to create custom chatbots trained on their own data. It supports multiple data ingestion methods, including direct file uploads, cloud drive imports, URL scraping, and manual text entry. These chatbots can be embedded on websites or integrated into Slack to provide context-aware responses, with a focus on accuracy, data privacy, and seamless platform integration.
Unifyr
Unifyr is a data aggregation platform that provides executives with a 360-degree view of their business operations and automates reporting. By syncing your existing tech stack, the platform enables you to build dashboards and share insights, effectively removing the need for manual data collection. Leveraging AI, Unifyr converts complex data into actionable insights and improved productivity.
Which model should you choose?
Use the summary below to decide which model better fits your workflow, budget, and feature requirements.
Amazon Nova Lite
Amazon Nova Lite is a stronger fit for tool-augmented workflows, multimodal applications, cost-efficient scale.
Mistral Small 3.1 (25.03)
Mistral Small 3.1 (25.03) is a stronger fit for cost-efficient scale, benchmark-led evaluation.
Choose Amazon Nova Lite if you prioritize tool-augmented workflows, multimodal applications, cost-efficient scale. Choose Mistral Small 3.1 (25.03) if your workflow depends more on cost-efficient scale, benchmark-led evaluation.
Common questions about Amazon Nova Lite vs Mistral Small 3.1 (25.03)
What is the main difference between Amazon Nova Lite and Mistral Small 3.1 (25.03)?
Amazon Nova Lite leans toward tool-augmented workflows, multimodal applications, cost-efficient scale, while Mistral Small 3.1 (25.03) is better suited to cost-efficient scale, benchmark-led evaluation.
Which model is cheaper: Amazon Nova Lite or Mistral Small 3.1 (25.03)?
Amazon Nova Lite starts lower on input pricing at $0.0600 per 1M input tokens, compared with $0.1000 for Mistral Small 3.1 (25.03).
Which model has the larger context window: Amazon Nova Lite or Mistral Small 3.1 (25.03)?
Amazon Nova Lite is listed with a context window of 300,000, while Mistral Small 3.1 (25.03) is listed with 128,000.
How should I evaluate Amazon Nova Lite vs Mistral Small 3.1 (25.03) for my use case?
This comparison currently includes 7 shared benchmark rows, helping you compare practical performance across overlapping evaluations.